In Table REF , we describe the configurations of our HaloNet models, \(H1-H7\) . The hyperparameters in the HaloNet family are: image size \(s\) , query block size \(b\) , halo size \(h\) , attention output width multiplier \(r_v\) , bottleneck output width multiplier \(r_b\) , number of bottleneck blocks in the third group \(l_3\) , and final \(1 \times 1\)  conv width \(d_{f}\) .
Each of our HaloNet models is trained on a comparable image size to the corresponding EfficientNet [1]} model, which can be found in Table REF .
